Travelled to:6 × USA
Collaborated with:S.Sabato R.A.Servedio O.Tamuz I.Bezáková R.Santhanam A.Blum H.Wasserman A.K.Menon S.Gulwani B.W.Lampson C.Liu S.Belongie O.Shamir
Talks about:learn (3) select (2) featur (2) model (2) nois (2) likelihood (1) framework (1) subject (1) statist (1) program (1)
Person: Adam Kalai
DBLP: Kalai:Adam
Contributed to:
2013201320112006
20032000Wrote 6 papers:
- ICML-c1-2013-MenonTGLK #framework #machine learning #programming
- A Machine Learning Framework for Programming by Example (AKM, OT, SG, BWL, AK), pp. 187–195.
- ICML-c3-2013-SabatoK #multi
- Feature Multi-Selection among Subjective Features (SS, AK), pp. 810–818.
- ICML-2011-TamuzLBSK #adaptation #kernel #learning
- Adaptively Learning the Crowd Kernel (OT, CL, SB, OS, AK), pp. 673–680.
- ICML-2006-BezakovaKS #graph #using
- Graph model selection using maximum likelihood (IB, AK, RS), pp. 105–112.
- STOC-2003-KalaiS
- Boosting in the presence of noise (AK, RAS), pp. 195–205.
- STOC-2000-BlumKW #learning #problem #query #statistics
- Noise-tolerant learning, the parity problem, and the statistical query model (AB, AK, HW), pp. 435–440.